Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Mitigation_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Mitigation_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Mitigation_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Mitigation_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Mitigation_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mtyrrell/CPU_Mitigation_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://mtyrrell/CPU_Mitigation_Classifier@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 7de57ccf8b122973985c82503f6f27056632a1c0675411e8d19871d08c3caf55
- Size of remote file:
- 438 MB
- SHA256:
- 6f8c8d9fc94fd5bac0f2d4781f8020c38bef46e2483adb26abe39453f179c47b
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